Computers & Industrial Engineering最新文献_第10页

Decarbonizing a supply chain with an unreliable supplier: Implications for profitability and sustainability 在供应商不可靠的情况下实现供应链去碳化：对盈利能力和可持续性的影响

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2024-09-18 DOI: 10.1016/j.cie.2024.110573

{"title":"Decarbonizing a supply chain with an unreliable supplier: Implications for profitability and sustainability","authors":"","doi":"10.1016/j.cie.2024.110573","DOIUrl":"10.1016/j.cie.2024.110573","url":null,"abstract":"<div><p>The increasing emphasis on corporate social responsibility has led to a growing trend among firms to initiate decarbonization campaigns, aligning their sustainability efforts with profitability objectives. This paper explores the challenge of decarbonizing a supply chain wherein a buyer cooperates with an unreliable supplier that possesses private absorptive capacity and varying degrees of bargaining power. We develop models based on whether the absorptive capacity remains private information and whether the buyer has more bargaining power in determining the profit-maximizing price. Our findings indicate that the buyer may opt to avoid entering into contracts with the supplier for decarbonization if the absorptive capacity ratio falls below certain values. When contracting occurs, decarbonization has the potential to yield a mutually beneficial outcome for firms, customers, and the environment. Nevertheless, the presence of private information has negative implications for customers and the environment because it results in reduced consumer surplus and increased carbon footprint. As the buyer’s bargaining power strengthens, the likelihood of supply chain decarbonization increases, potentially leading to more consumer surplus and less carbon footprint. Finally, we discuss the effects of key model factors from a triple bottom line perspective (<em>i.e.</em>, profit, people, and the planet).</p></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142271657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-objective optimization for a green forward-reverse meat supply chain network design under uncertainty: Utilizing waste and by-products 不确定条件下绿色正反向肉类供应链网络设计的多目标优化：利用废物和副产品

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2024-09-18 DOI: 10.1016/j.cie.2024.110578

{"title":"Multi-objective optimization for a green forward-reverse meat supply chain network design under uncertainty: Utilizing waste and by-products","authors":"","doi":"10.1016/j.cie.2024.110578","DOIUrl":"10.1016/j.cie.2024.110578","url":null,"abstract":"<div><p>The essential requirement for food stands as a pivotal human need, exerting significant ecological impact from production to consumption. Meat, a key dietary component, offers essential nutrients vital for human health. This paper presents a bi-objective two-stage stochastic optimization model for a green forward-reverse meat supply chain network design, addressing both economic and environmental concerns throughout the chain. In the forward flow, the supply chain manages various meat products consist of fresh, processed, and frozen meat products, ensuring their eco-efficient production and distribution. Meanwhile, in the reverse flow, waste and by-products generated during the production process are repurposed and reused. The study promotes environmental sustainability by repurposing waste, utilizing by-products, and minimizing carbon emissions. The proposed model is solved using popular exact ε-constraint method for smaller instances and Non-dominated Sorting Genetic Algorithm II (NSGA-II), Multi-Objective Particle Swarm Optimization (MOPSO), and Strength Pareto Evolutionary Algorithm 2 (SPEA2) meta-heuristic algorithms are employed for larger instances. SPEA2 outperforms both MOPSO and NASG-II, demonstrating less average gap that is 0.38% and 0.76%, respectively. Additionally, the findings reveals that an average 2.5% reduction in environmental impacts associated with an average 5% decrease in profit. The noteworthy outcomes of the research empower managers to navigate the implications of fluctuating demand effectively. Moreover, it is crucial to underscore the effects of conversion rates, particularly those associated with the manufacturing process. An excessively high conversion rate can negatively impact profitability and worsen environmental issues. Conversely, lowering the conversion rate can enhance profitability and mitigate environmental impacts.</p></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142271658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

How does environmental policy affect operations and supply chain management: A literature review 环境政策如何影响运营和供应链管理：文献综述

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2024-09-18 DOI: 10.1016/j.cie.2024.110580

{"title":"How does environmental policy affect operations and supply chain management: A literature review","authors":"","doi":"10.1016/j.cie.2024.110580","DOIUrl":"10.1016/j.cie.2024.110580","url":null,"abstract":"<div><p>Governments in many countries actively carry out various policies to tackle pollution problems sourced from operations and supply chain activities, aiming at reducing adverse environmental impact and promoting sustainable development. This study provides a comprehensive and well-structured review of research on operations and supply chain management within the context of environmental policy. Specifically, this study meticulously identifies 137 papers and presents the descriptive results of a bibliometric analysis on these papers. Afterwards, using a well-defined framework encompassing three types of policies and various levels of operational and supply chain management, the identified papers are further classified. For each classification, content analyses are conducted accordingly, delving into the diverse concerns and contributions of the reviewed papers from the perspectives of pricing, production planning, inventory and technology management, coordination and competition, recycling and remanufacturing activities, transportation decisions, and network design. Three aspects of sustainability performance are also considered in the analyses. Finally, this study provides future research directions from seven perspectives: research methodology, forms of regulation, dynamic games, types of contracts, sustainable target management, green behavior of supply chain members, and investment constraints. These insights in turn inform the development of policies and decision-making processes related to environmental sustainability.</p></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0360835224007010/pdfft?md5=733d9438e338005db4606d0a417ee01b&pid=1-s2.0-S0360835224007010-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142271552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integrated optimization of vessel dispatching and empty container repositioning considering turnover time uncertainty 考虑周转时间的不确定性，对船舶调度和空集装箱重新定位进行综合优化

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2024-09-18 DOI: 10.1016/j.cie.2024.110566

{"title":"Integrated optimization of vessel dispatching and empty container repositioning considering turnover time uncertainty","authors":"","doi":"10.1016/j.cie.2024.110566","DOIUrl":"10.1016/j.cie.2024.110566","url":null,"abstract":"<div><p>The global trade disproportion results in the accumulation of containers in import-dominated ports and shortages in export-dominated ports, causing congestion and high freight costs, thus hindering maritime shipping economy development. To address these issues, this study develops a stochastic programming model considering uncertain container turnover times. The model integrates decisions for vessel deployment and empty container repositioning over multiple planning periods through a two-stage decision process, aiming to minimize the total cost, including vessel deployment, container leasing, and penalty costs for unfulfilled demand. By formulating the scenario selection problem as a <em>p-median problem</em>, we effectively reduce the model size. We propose an accelerated Benders decomposition algorithm which leverages the independence of sub-problems in the second stage to enable parallel computation. Numerical experiments show that our Benders decomposition algorithm improves solution speed by over 63% compared to the Gurobi optimization solver. Furthermore, our integrated optimization approach proves to be more cost-effective than the reactive method used by shipping lines, achieving an average cost savings of 0.72%. Additionally, our method of constructing turnover time scenarios to address uncertainty saves approximately 0.45% in costs compared to using the probability distribution of container turnover time.</p></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142271555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Data-driven portfolio management for motion pictures industry: A new data-driven optimization methodology using a large language model as the expert 电影业的数据驱动投资组合管理：以大型语言模型为专家的数据驱动优化新方法

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2024-09-18 DOI: 10.1016/j.cie.2024.110574

{"title":"Data-driven portfolio management for motion pictures industry: A new data-driven optimization methodology using a large language model as the expert","authors":"","doi":"10.1016/j.cie.2024.110574","DOIUrl":"10.1016/j.cie.2024.110574","url":null,"abstract":"<div><p>Portfolio management is one of the unresponded problems of the Motion Pictures Industry (MPI). To design an optimal portfolio for an MPI distributor, it is essential to predict the box office of each project. Moreover, for an accurate box office prediction, it is critical to consider the effect of the celebrities involved in each MPI project, which was impossible with any precedent expert-based method. Additionally, the asymmetric characteristic of MPI data decreases the performance of any predictive algorithm. In this paper, firstly, the fame score of the celebrities is determined using a large language model. Then, to tackle the asymmetric character of MPI’s data, projects are classified. Furthermore, the box office prediction takes place for each class of projects. Finally, using a hybrid multi-attribute decision-making technique, the preferability of each project for the distributor is calculated, and benefiting from a bi-objective optimization model, the optimal portfolio is designed. To validate our approach, we conducted experiments using a dataset of movies released in the United States from 1980 to 2020 and employed the proposed approach to predict box office performance. Our results demonstrate that the proposed methodology significantly improves prediction accuracy and provides a robust framework for effective portfolio management.</p></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142271655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A decision support framework for best-fitting blockchain platform selection in sustainable supply chains under uncertainty 不确定条件下可持续供应链中最合适区块链平台选择的决策支持框架

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2024-09-14 DOI: 10.1016/j.cie.2024.110577

{"title":"A decision support framework for best-fitting blockchain platform selection in sustainable supply chains under uncertainty","authors":"","doi":"10.1016/j.cie.2024.110577","DOIUrl":"10.1016/j.cie.2024.110577","url":null,"abstract":"<div><p>Despite blockchain’s potential to enhance visibility and traceability in sustainable supply chains (SCs), its adoption is complex due to the various criteria (e.g., interoperability and cost) required for the best-fitting platform selection. This study aims to investigate conflicting criteria in the blockchain technology (BT) platform selection process for decision-making under uncertainty. We propose a three-phase decision support framework to study BT adoption considering technological, organizational, and environmental contexts. In the first phase, after exploring the evaluation criteria from multiple contexts, the developed framework incorporates uncertainty and reliability to deal with the BT platform evaluation problem. Then, fuzzy cognitive map modeling, advanced by a Z-number-based inference system, is introduced to model the causal relationships between criteria. This is followed by implementing a hybrid learning algorithm to assess the impact of each criterion on adoption decisions. Finally, the fuzzy combined compromise solution embedded in the framework prioritizes BT platforms to identify the most suitable ones for sustainable SC. The findings imply that performance efficiency, implementation costs, maintainability and operability can significantly affect the BT platform selection decisions. The outcomes offer more stable, reliable, and distinguishable solutions for the proposed problem compared to the traditional approaches. The results introduce Hyperledger and R3 Corda as the best-fitting platforms for adoption based on the identified criteria.</p></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0360835224006983/pdfft?md5=110251f355f87f70d095bb498272143a&pid=1-s2.0-S0360835224006983-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142271656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design and analysis of government subsidies policy of capacity expansion under reselling and agency selling schemes 转售和代理销售计划下产能扩张的政府补贴政策设计与分析

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2024-09-14 DOI: 10.1016/j.cie.2024.110576

{"title":"Design and analysis of government subsidies policy of capacity expansion under reselling and agency selling schemes","authors":"","doi":"10.1016/j.cie.2024.110576","DOIUrl":"10.1016/j.cie.2024.110576","url":null,"abstract":"<div><div>Major disruptions, such as the coronavirus disease of 2019 (COVID-19) pandemic and the US-China trade war, have significantly impacted businesses and the global economy, creating a turbulent environment for society and supply chains. Globally, fighting disruptions and ensuring the supply of essential goods has become a significant challenge for governments. One possible solution is to strategically expand essential product capacity to increase supply resilience. Governments must cooperate closely with suppliers through carefully designed subsidy policies. A theoretical model based on current industry practices was built to explore and analyze the partnerships between governments and essential product suppliers. Our proposed model includes four players: the government, the supplier, the selling agent, and the consumer. We considered government subsidy policies for capacity expansion in building supply chains subject to two pricing designs: (1) government pricing and (2) market pricing. The results indicate that once a disruption occurs, social welfare increases with the government-subsidized expansion of essential goods to increase supply chain capacity. We analytically show that if the government does not support production expansion, the supplier can expand production only if the expansion cost is trivial. Furthermore, without government pricing, the product price increases in the government subsidy ratio. Hence, we conclude that government intervention is required to stabilize the market with proper price control, especially in the essential goods supply chain.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142422328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Based on Gated Recurrent network analysis of advanced manufacturing cluster and unified large market to promote regional economic development 基于先进制造业集群和统一大市场的门控循环网络分析，促进区域经济发展

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2024-09-13 DOI: 10.1016/j.cie.2024.110575

{"title":"Based on Gated Recurrent network analysis of advanced manufacturing cluster and unified large market to promote regional economic development","authors":"","doi":"10.1016/j.cie.2024.110575","DOIUrl":"10.1016/j.cie.2024.110575","url":null,"abstract":"<div><p>This study evaluates the catalytic effects of advanced manufacturing industry clusters and unified large markets on regional economic development from a computer science perspective, revealing their underlying mechanisms. It employs a Gated Recurrent Network (GRN) model optimized with Gradient Boosting Decision Tree (GBDT) technology to conduct empirical analysis through comprehensive data collection and analysis. The primary objectives are to assess these catalytic effects, highlight the importance of innovation and environmental indicators, determine the contribution levels of various factors, and test the computational fit and predictive accuracy of the model. Key findings indicate that the GBDT-GRN model demonstrates a significant improvement in data computation accuracy, ranging from 20% to 52%, and an increase in response time by 23% to 52%. The model achieves a computational fit of 92% to 99% when analyzing regional economic development. The proposed GBDT-GRN model is highly accurate and reliable in evaluating catalytic effects, providing strong support for policy-making and business decision-making. Innovation and environmental indicators play a crucial role, with varying contributions from different factors. This study offers an effective solution for sequence data prediction problems, supports policy-making and business decisions, and points to promising directions for future research.</p></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142241068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing socioeconomic sustainability in glass wall panel manufacturing: An integrated production planning approach 提高玻璃墙板制造业的社会经济可持续性：综合生产规划方法

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2024-09-13 DOI: 10.1016/j.cie.2024.110571

{"title":"Enhancing socioeconomic sustainability in glass wall panel manufacturing: An integrated production planning approach","authors":"","doi":"10.1016/j.cie.2024.110571","DOIUrl":"10.1016/j.cie.2024.110571","url":null,"abstract":"<div><p>While conventional production planning approaches prioritize short-term efficiency and economic gains, the sustainability development objectives emphasize a holistic perspective, integrating eco-friendly practices, social responsibility, and economic viability. Nevertheless, the existing literature overlooks a gap in understanding the role of socio-economic factors in labor-intensive production processes. In this regard, this research aims at investigating the impact of social factors, such as labor skill level and experience, on production planning, with a specific focus on glass wall panel manufacturing. The research integrates sustainability socioeconomics, as embodied by an empirically developed labor learning curve, with the MINLP (Mixed-Integer Nonlinear Programming) scheduling model. The results show that the integrated socio-economic scheduling approach outperforms traditional scheduling approach, reducing idle time up to 43% and promoting more balanced production distribution. Despite slightly higher upfront production costs, the integrated model offers long-term cost savings through reduced idle time and overtime, making it a viable option for companies seeking to improve productivity and worker satisfaction. The implementation of this work is recommended to maintain a sustainable, safe, and healthy work environment while also considering long-term economic benefits rather than short-term profits.</p></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0360835224006922/pdfft?md5=459d09a4ee21cedd4fb555c4846f016b&pid=1-s2.0-S0360835224006922-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142241070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Q-learning based hyper-heuristic scheduling algorithm with multi-rule selection for sub-assembly in shipbuilding 基于 Q-learning 的超启发式调度算法与造船分装的多规则选择

IF 6.7 1区工程技术

Computers & Industrial Engineering Pub Date : 2024-09-12 DOI: 10.1016/j.cie.2024.110567

{"title":"A Q-learning based hyper-heuristic scheduling algorithm with multi-rule selection for sub-assembly in shipbuilding","authors":"","doi":"10.1016/j.cie.2024.110567","DOIUrl":"10.1016/j.cie.2024.110567","url":null,"abstract":"<div><p>Sub-assembly is the basic stage of ship hull construction. It is necessary to optimize the scheduling of sub-assembly to shorten its assembly cycle and ensure the normal execution of subsequent processes. The scheduling problem of sub-assembly is an NP-hard problem that should take into consideration both spatial layout and temporal schedule. In this work, a mathematical model for scheduling the sub-assembly is established, and a Q-learning based hyper-heuristic with multi-spatial layout rule selection is proposed. Specifically, a spatial layout method based on multi-rule selection is proposed first. In various scenarios, distinct spatial layout rules are chosen to derive an appropriate spatial arrangement. Subsequently, a hyper-heuristic algorithm based on Q-learning is crafted to optimize the scheduling sequence and the selection of spatial layout rules. As a verification, numerical experiments are carried out in cases of different scales collected from a large shipyard. The effectiveness of the proposed algorithm is verified by comparing it with different spatial layout algorithms, various heuristic operators, existing well-known hyper-heuristic methods, and other Q-learning based scheduling methods. The results suggest that the proposed algorithm outperforms other comparison algorithms in most testing cases.</p></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142241069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0